YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
DINO Sparse Autoencoder Checkpoint
This model is a sparse autoencoder trained on DINO's internal representations.
Model Details
Architecture
- Layer: 8
- Layer Type: hook_resid_post
- Model: facebook/vitb-16
- Dictionary Size: 49152
- Input Dimension: 768
- Expansion Factor: 64
- CLS Token Only: False
Training
- Learning Rate: 0.01978789319686339
- Batch Size: 4096
- Context Size: 197
Sparsity
- L0 (Active Features): 530
Additional Information
- Wandb Run: https://wandb.ai/perceptual-alignment/DINO-SAE-Vanilla-Sweep/runs/z7rto0ct/
- Random Seed: 42
- Downloads last month
- 5
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support